About the Role
What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine? We're looking for a Precision Medicine Data Lead to guide the integration of complex healthcare datasets into meaningful insights — helping train the next generation of AI models that will influence clinical decision-making and medical research at scale.
This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences who want to apply their expertise at the frontier of AI development.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
- Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
- Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
- Help shape how AI models reason about healthcare data — contributing to systems that could influence the future of personalized treatment
Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
- Strong background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences
- Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented and methodical — you understand that data quality in healthcare isn't just best practice, it's critical
- Comfortable working independently and asynchronously in a fully remote setting
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI training workflows or large language model development
- Background in bioinformatics, translational research, or clinical informatics
- Experience with regulatory frameworks relevant to healthcare data (HIPAA, GDPR, etc.)
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Apply deep domain expertise to problems that sit at the intersection of healthcare and artificial intelligence
- Potential for ongoing work and contract extension as new projects launch